Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

Countries are forcing tech giants to store citizen data locally, challenging the standard business model of harvesting data ...

The data wilderness hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, ...

Industry 4.0 can make a factory smart by applying intelligent information processing approaches, communication systems, future-oriented techniques, and more. However, the high complexity, automation, ...

In this perspective, firstly the promise of big data and machine learning applications in the context of women's health is elaborated. Despite these promises, machine learning applications are not ...

The 10 coolest big data tools of 2025 so far include Databricks Lakebase, SAP Business Data Cloud and Snowflake Intelligence.

Exploration teams working to define a mineral resource or extend the life of a mine are under intense pressure to reduce geological uncertainty quickly. But for small teams operating at the sharp end ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

Schneider Electric’s new line of solutions equips customers with integrated, data-validated, and easily scaled white space solutions that address new challenges in pod and rack design, power ...

Standards for data security Effective management of Big Data, of course, includes security. Among the 16 foundational standards identified by NIST are three that figure in data security, including: ...

The current exponential advancements in the Internet of Things (IoT) technologies pave a vast intelligent computing platform by integrating smart objects with sensing, processing and communication ...

The sheer scale of data curation required for these efforts has underscored the need for a sustainable model – both financially and environmentally. The traditional approach of relying on a growing ...